Publications

@article{brown2026code,
  author = {Brown, Eva Maxfield and Slaughter, Isaac and Weber, Nicholas},
  title = {Code Contribution and Credit in Science},
  journal = {Quantitative Science Studies},
  year = {2026},
  month = mar,
  pages = {1--20},
  doi = {10.1162/QSS.a.465},
  url = {https://doi.org/10.1162/QSS.a.465},
  issn = {2641-3337},
  eprint = {https://direct.mit.edu/qss/article-pdf/doi/10.1162/QSS.a.465/2586622/qss.a.465.pdf}
}

@article{tran2025privacy,
  author = {Tran, Sarah and Lu, Hongfan and Slaughter, Isaac and Herman, Bernease and Dangol, Aayushi and Fu, Yue and Chen, Lufei and Gebreyohannes, Biniyam and Howe, Bill and Hiniker, Alexis and Weber, Nicholas and Wolfe, Robert},
  title = {Understanding Privacy Norms Around LLM-Based Chatbots: A Contextual Integrity Perspective},
  journal = {Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society},
  year = {2025},
  month = oct,
  volume = {8},
  number = {3},
  pages = {2522--2534},
  doi = {10.1609/aies.v8i3.36735},
  url = {https://ojs.aaai.org/index.php/AIES/article/view/36735}
}

@article{slaughter2025community,
  author = {Slaughter, Isaac and Peytavin, Axel and Ugander, Johan and Saveski, Martin},
  title = {Community Notes Reduce Engagement With and Diffusion of False Information Online},
  journal = {Proceedings of the National Academy of Sciences},
  year = {2025},
  volume = {122},
  number = {38},
  pages = {e2503413122},
  doi = {10.1073/pnas.2503413122},
  url = {https://www.pnas.org/doi/abs/10.1073/pnas.2503413122},
  eprint = {https://www.pnas.org/doi/pdf/10.1073/pnas.2503413122}
}

@inproceedings{ghate2025intrinsic,
  author = {Ghate, Kshitish and Slaughter, Isaac and Wilson, Kyra and Diab, Mona T. and Caliskan, Aylin},
  title = {Intrinsic Bias is Predicted by Pretraining Data and Correlates with Downstream Performance in Vision-Language Encoders},
  booktitle = {Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)},
  year = {2025},
  month = apr,
  address = {Albuquerque, New Mexico},
  publisher = {Association for Computational Linguistics},
  pages = {2899--2915},
  doi = {10.18653/v1/2025.naacl-long.148},
  url = {https://aclanthology.org/2025.naacl-long.148/},
  isbn = {979-8-89176-189-6}
}

@article{slaughter2025vessel,
  author = {Slaughter, Isaac and Charla, Jagir Laxmichand and Siderius, Martin and Lipor, John},
  title = {Vessel trajectory prediction with recurrent neural networks: An evaluation of datasets, features, and architectures},
  journal = {Journal of Ocean Engineering and Science},
  year = {2025},
  volume = {10},
  number = {2},
  pages = {229--238},
  doi = {10.1016/j.joes.2024.01.002},
  url = {https://www.sciencedirect.com/science/article/pii/S2468013324000081},
  issn = {2468-0133},
  keywords = {Automatic identification system, Maritime situational awareness, Recurrent neural networks, Vessel trajectory prediction}
}

@inproceedings{peytavin2024heterogeneous,
  author = {Peytavin, Axel and Slaughter, Isaac and Ugander, Johan and Saveski, Martin},
  title = {Investigating the Heterogeneous Effects of Community-Driven Fact-Checking on Social Media},
  booktitle = {International Conference on Computational Social Science},
  year = {2024}
}

@inproceedings{slaughter2024ibuying,
  author = {Slaughter, Isaac and Brown, Eva Maxfield and Weber, Nic},
  title = {The Impact of iBuying is About More Than Just Racial Disparities: Evidence from Mecklenburg County, NC},
  booktitle = {Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency},
  year = {2024},
  address = {New York, NY, USA},
  publisher = {Association for Computing Machinery},
  pages = {2086--2100},
  doi = {10.1145/3630106.3659027},
  url = {https://doi.org/10.1145/3630106.3659027},
  isbn = {9798400704505},
  numpages = {15},
  keywords = {Algorithm Auditing, Automated Valuation Models, Bayesian Hierarchical Modeling, Housing Discrimination, iBuying},
  location = {Rio de Janeiro, Brazil},
  series = {FAccT '24}
}

@inproceedings{wolfe2024laboratory,
  author = {Wolfe, Robert and Slaughter, Isaac and Han, Bin and Wen, Bingbing and Yang, Yiwei and Rosenblatt, Lucas and Herman, Bernease and Brown, Eva Maxfield and Qu, Zening and Weber, Nic and Howe, Bill},
  title = {Laboratory-Scale AI: Open-Weight Models are Competitive with ChatGPT Even in Low-Resource Settings},
  booktitle = {Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency},
  year = {2024},
  address = {New York, NY, USA},
  publisher = {Association for Computing Machinery},
  pages = {1199--1210},
  doi = {10.1145/3630106.3658966},
  url = {https://doi.org/10.1145/3630106.3658966},
  isbn = {9798400704505},
  numpages = {12},
  keywords = {ChatGPT, Chatbots, GPT-4, Generative AI, Language Models, Open Models, Transparency, qLoRA},
  location = {Rio de Janeiro, Brazil},
  series = {FAccT '24}
}

@inproceedings{slaughter2023speech,
  author = {Slaughter, Isaac and Greenberg, Craig and Schwartz, Reva and Caliskan, Aylin},
  title = {Pre-trained Speech Processing Models Contain Human-Like Biases that Propagate to Speech Emotion Recognition},
  booktitle = {Findings of the Association for Computational Linguistics: EMNLP 2023},
  year = {2023},
  month = dec,
  address = {Singapore},
  publisher = {Association for Computational Linguistics},
  pages = {8967--8989},
  doi = {10.18653/v1/2023.findings-emnlp.602},
  url = {https://aclanthology.org/2023.findings-emnlp.602/}
}